Efficient Outliers rejection in positioning of mobile devices

Docente

Ludovico Biagi (mail)

Area di ricerca

Geoinformatica

Keyword (max 3 separate da virgola)

GNSS, Efficient Leave One Out

Tecnologie da utilizzare

Python

Descrizione (max 500 caratteri)

GNSS provide positions estimates that are quite accurate in a good observation environment. However, in harsh conditions, blundered observations can seriously affect the accuracy of the estimated positions.
The Leave One Out method is really accurate in identifying blunders but is not efficient from a numerical point of view: this is clearly a serious problem for real time applications.
An efficient LOO method has been studied. The student will implement it and apply it to simulated GNSS data to test accuracy and efficiency.
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